在瘤学中进行无的I-II期试验的药理测量启用DOse优化 (PEDOOP)
Shijie Yuan1, Zhanbo Huang2, Jiaxin Liu3
1Department of Statistics and Data Science, The University of Texas at Austin, Austin, USA.
Journal of biopharmaceutical statistics
|June 18, 2024
概括
药量计启用DOse优化 (PEDOOP) 设计优化了使用患者PK/PD数据的早期瘤学试验. 这种无的两相方法可以确定晚期发育阶段的安全有效剂量.
科学领域:
- 临床药理学 临床药理学
- 瘤学 药物开发 药物开发
- 生物统计学 生物统计学
背景情况:
- 首次在人身上进行试验对于确定新瘤药物的最佳剂量至关重要.
- 传统的试验设计可能无法充分利用患者特定的药理动力学 (PK) 和药理动力学 (PD) 数据.
- 需要有效的设计,整合PK/PD信息以优化剂量.
研究的目的:
- 为首次在人体瘤学试验中引入和评估PEDOOP (Pharmacometrics-Enabled DOse OPtimization) 设计.
- 评估PEDOOP在确定适合晚期发育阶段剂量的表现.
- 将PEDOOP与现有的无试验设计进行比较.
主要方法:
- PEDOOP设计整合了患者水平的PK测量和PD信息,跨越两个无阶段.
- 第一个阶段涉及剂量升级,以剂量发现设计为指导,使用统计模型估计剂量毒性反应.
- 第二阶段采用随机对比选择剂量与对照组,以确定最佳生物剂量 (OBD).
主要成果:
- 为了评估PEDOOP设计的性能,进行了模拟研究.
- 模拟将PEDOOP与结合I阶段和II阶段的既定无设计进行了比较.
- 预计结果将证明PEDOOP在剂量优化和选择中的有效性.
结论:
- PEDOOP设计为早期瘤学试验提供了一种全新,综合的方法.
- 它利用PK/PD数据进行强大的剂量优化和选择.
- PEDOOP有可能提高瘤药物开发的效率和成功率.
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